{"id":"W2035355985","doi":"10.1016/j.atmosenv.2010.11.029","title":"Impact of cruise ship emissions in Victoria, BC, Canada","year":2010,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Environment","funders":"Mitacs","keywords":"Cruise; Bay; Environmental science; Air quality index; Particulates; Nitrogen dioxide; Meteorology; Nitrogen oxides; Air pollution; Atmospheric sciences; Oceanography; Geography; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003499086,0.0003729773,0.0003576664,0.0009321029,0.002632355,0.001826318,0.0009717789,0.0007072041,0.003070448],"category_scores_gemma":[0.001288119,0.0003461795,0.000649644,0.002388021,0.0005020144,0.0004390594,0.001299476,0.0009190365,0.0003283394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05366071,"about_ca_system_score_gemma":0.04000243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980953,"about_ca_topic_score_gemma":0.9993724,"domain_scores_codex":[0.999091,0.00007380857,0.00003896618,0.00005533149,0.0003532952,0.0003876715],"domain_scores_gemma":[0.9988366,0.00004818978,0.00009660275,0.00001629775,0.0007433663,0.0002590058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009405584,0.00019635,0.9327449,0.0002839697,0.0004660849,0.00174748,0.002937921,0.01011662,0.002375178,0.00182339,0.01344874,0.03291879],"study_design_scores_gemma":[0.00001184806,0.00002317993,0.9907784,0.00004590205,0.00003211914,0.00008503298,0.002940829,0.001334587,0.0001679514,0.00006927078,0.004495796,0.00001515714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798146,0.001053893,0.00008776929,0.001085283,0.0000331425,0.0000323768,0.005070121,0.00001609642,0.0128068],"genre_scores_gemma":[0.9852985,0.0007625963,0.0001226039,0.0001148931,0.000007010255,0.000009460743,0.001207496,0.00001274008,0.01246468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05366071,"threshold_uncertainty_score":0.3893375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003509732702186378,"score_gpt":0.1995081431115923,"score_spread":0.1959984104094059,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}